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Medium Profitability

Elena's Electronics

#Technology
ProHub Comment

This is a quantitative profitability case that tests the candidate's ability to analyze financial data and identify a critical misalignment between incentive structures and business outcomes. The case reveals that while the pilot increased total phone volume sold, the product mix shift toward lower-margin budget phones eroded per-store profitability—a classic example of optimizing for the wrong metric. The recommendation requires both data analysis and strategic insight about compensation design.

Estimated Time 26 minutes
Difficulty Medium
Source Chicago Booth
10 / 100
Our client is Elena’s Electronics, an electronic goods chain store. Historically, the client relied on rapid opening of new stores to increase growth. However, the client’s presence is now so broad that it must also look for internal growth. In 2017, Elena’s Electronics tested a pilot that changed the responsibilities of staff in its cell phone division. In the old model, all employees were expected to handle all tasks related to sales and products. Under the new program, there are two different types of employees: sales specialists and product specialists. Sales specialists handle all customer interactions, such as talking to customers about their needs and recommending products. Product specialists handle all product management functions, including inventory, ordering, and shelf management. The purpose of the pilot was to see whether sales specialists could target customer needs better and thus increase profits from phone sales. Our client wants us to assess whether or not the program was successful and whether it should expand the pilot program to all the divisions of the stores.

Clarifying Information

  1. Other Divisions: The other primary divisions at Elena’s Electronics are televisions, laptops, smart appliances, and new tech (drones, 3D headsets, etc.). Their sales were unaffected by the pilot for the cell phone division.
  2. Competitors: The primary competitors to Elena’s are big box electronics stores, such as Best Buy. These stores have a wide variety of staffing models – there is no clear industry standard.
Mock Interview
Interviewer

Our client is Elena's Electronics, an electronic goods chain store. Historically, the client relied on rapid opening of new stores to increase growth. However, the client's presence is now so broad that it must also look for internal growth. In 2017, Elena's Electronics tested a pilot that changed the responsibilities of staff in its cell phone division. In the old model, all employees were expected to handle all tasks related to sales and products. Under the new program, there are two different types of employees: sales specialists and product specialists. Sales specialists handle all customer interactions, such as talking to customers about their needs and recommending products. Product specialists handle all product management functions, including inventory, ordering, and shelf management. The purpose of the pilot was to see whether sales specialists could target customer needs better and thus increase profits from phone sales. Our client wants us to assess whether or not the program was successful and whether it should expand the pilot program to all the divisions of the stores.

You

Thanks. Before analyzing, I'd like to clarify a few key questions...

Interviewer

Good question. Let me provide some background information...

You

Based on this, I suggest analyzing from these dimensions...

AI Score
Structure Analysis Communication Business Sense Quantitative
Practicing...
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Elena’s Electronics piloted a new staffing model in its cell phone division that separated sales and product specialists. While total phones sold increased dramatically (104,000 vs. 54,000), revenue and profit per store actually declined. Analysis shows that sales specialists, compensated on volume, increasingly recommend budget phones ($50 margin) over deluxe phones ($300 margin), causing per-store profit to drop from $80K to $65K. The case concludes the pilot should not be expanded until the compensation structure is redesigned.

Key Insights:

  1. Incentive misalignment can undermine operational improvements—volume metrics led specialists to push lower-margin products
  2. Absolute metrics can be misleading; revenue and profit per unit matter more than total volume for assessing true program success
  3. Product mix analysis is critical when investigating profitability changes; drilling into quantity and margin by SKU revealed the root cause
  4. Compensation structure design directly influences employee behavior and customer interactions—a key lever for course correction